쉐도잉 연습: Fight brain-rot with Worked Examples - 영상으로 영어 말하기 배우기

And this is how I personally learn using LLMs without my brain rotting away.

Give me a worked example, i.e. steps broken down, worked, like a math problem, or leak code.

And then you can just type a random number here, 137.

so if you just tell the LLM give me the solution to leak code 137

it will give you something and you won't understand it at all

but if you ask for a worked example this is the hack

it will tell you step by step how to come to this conclusion

so you're not just getting the final thing you are getting a series of steps which you can go through

and each step is small in terms of cognitive requirement

and you'll actually be able to learn remember and retain that information and that step

and your brain will remember in a chain so that you might remember 4 out of the 5

but then remembering the other four forces your brain to recall the fifth one

because your brain likes to associate this thing's related with this thing.

It links patterns in that way.

So I actually think that LLMs are learning on steroids because now you have access to a speaking encyclopedia

that can break down problems for you, your own personal tutor.

It is insane, actually.

So that was a clip from my live stream, and I'm aware of a scientific article that actually talks more about this, and I wanted to share it.

You can go look it up yourself, and you can see what this study says as well.

The paper is called The Effect of Worked Examples on Learning Solution Steps and Knowledge Transfer.

And in this article, they describe a method where they took two groups of students, they gave one group the worked example,

which is like a series of steps to help the students get to the solution.

And the other group just had to figure it out, basically.

They had to do problem solving.

And the problems that they gave them were designed in a way

that they required to fit many things into working memory at a given time.

So very cognitively demanding.

And if I just scroll down to the results, because it's quite a long paper.

So the results here, effectively, it breaks down the two groups into a table.

And they measured the cognitive load.

and motivation and retention and also something called near transfer.

So for cognitive load, it's predictable and expected that the worked example group had lower cognitive load.

Of course, because they were given a worked example, they already know some of the steps to solving the problem.

So they were consistently lower in cognitive load Now why is that important?

If we look at some of the other results, for example, let's just go down to retention.

And we look at the retention.

I don't know what unit these numbers are in,

but you can see that the worked example group had a 50% increased retention over the students that were just problem solving.

So much, much better ability to remember how they solved that problem.

You can see they also scored better on near transfer.

And I believe that means that when given similar problems, they are better able to solve those problems as well.

The motivational scale has to do with how proud they were of completing the lesson or the challenge

and also how challenged they felt during that.

As you would expect, the worked example group didn't feel that it was too challenging for them.

And then for how proud they were of their achievement, the worked example group was also slightly more proud of what they did.

So take that for what you will.

But then if we go down to the, essentially the educational implications, it's sort of giving,

I guess, advice for maybe teachers or professors to recommend that

when you are training or teaching someone who is just new to something, that you should give them worked examples.

and then as they learn more and more, you can maybe peel back a few of the steps so

that the worked example have less information and they have to do more problem solving over time.

So you're doing this gradual increase to keep the cognitive load of the student manageable.

Why do you need to do that?

Because when you are cognitively overloaded, you cannot remember things.

And especially if you are overloaded by a challenge and you get frustrated,

you have even less chance to remember and get through that problem.

So when we are doing things like going to LeetCode and jumping into a problem that we have never seen before,

you are not cheating by looking at worked examples.

The worked example will tell you how to solve it, but you will actually be better solidifying that knowledge in your brain and that pattern.

Now a worked example is very different from a completely finished and final solution.

A worked example is the steps.

It is not just the answer.

If you just take the answers, you're not going to learn.

But if you use a worked example, you're going to learn better than everyone else who doesn't.

It just seems like a no-brainer for me.

So when you go through here and you look at solutions, don't look at the solutions because they will have just a complete solution unless they've written it,

their shared solution really well, which most of them don't do that.

So instead what you do, you just go to an LLM and ask it to give you a worked example

because they've all been trained on all of LeetCode and everything.

So that's it.

I will link the study in the description.

Go have a read and good luck.

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이 비디오는 일상적인 대화체로 구성되어 있어 영어 쉐도잉 연습에 최적입니다. 발화자가 자연스럽게 생각을 전달하는 과정을 따라하면, 실제 의사소통에서 필요한 리듬과 흐름을 익힐 수 있습니다. 특히 "worked examples"와 같은 학습 방법을 설명하면서 사용된 구체적인 예시는 단어뿐 아니라 아이디어를 전달하는 방법도 배울 수 있어, 말하기 실력 뿐 아니라 논리적 표현 능력도 향상시킵니다. shadow speak 또는 shadowing site에서 이 비디오를 활용한다면, 듣고 즉시 따라하는 과정에서 두뇌가 자동으로 언어 패턴을 기억하게 되어 장기 기억에 남는 효과가 있습니다.

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"This is how I personally learn...": "how"를 사용해 방법을 설명하는 구조로, 일상 대화에서 자주 쓰입니다. "이것이 제가 개인적으로 배우는 방식입니다"라고 번역되지만, 말할 때는 "이렇게 해서 제가 배워요"처럼 자연스럽게 바꿔쓸 수 있습니다.
"if you just tell the LLM give me the solution...": "tell + 목적어 + 동사 원형" 구조로, 명령이나 요청을 전달할 때 사용됩니다. "LLM에게 '솔루션을 주세요'라고 말하면"처럼 사용되며, 영어에서는 간단한 명령문을 이렇게 표현하는 경우가 많습니다.
"they were consistently lower in cognitive load": "consistently"는 "일관되게"라는 뜻으로, 데이터나 결과를 설명할 때 유용합니다. "인지 부하가 일관되게 낮았습니다"처럼 과학적 설명뿐 아니라 일상에서도 "그는 일관되게 노력합니다"처럼 사용할 수 있습니다.

발음의 함정

이 비디오에서 주의해야 할 발음이 몇 가지 있습니다. "cognitive"는 "코그니티브"가 아니라 "코그니티브" (발음: /ˈkɑːɡnətɪv/)로, "g"가 약간 들리지만 강조하지 않습니다. "retention"은 "리텐션"이 아니라 "리텐션" (발음: /rɪˈtenʃn/)로, 마지막 "n"이 약하게 발음됩니다. 또한 "steroids"는 "스테로이드"가 아니라 "스테로이즈" (발음: /ˈsterɔɪdz/)로, 끝에 "즈" 소리가 들어갑니다. shadow speech 연습을 할 때 이런 단어들을 주의깊게 듣고 따라하면, 자연스러운 발음을 익힐 수 있습니다.

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문형	영상 속 표현
수동태 be + 과거분사 — 누가 하는지보다 무슨 일이 일어나는지에 초점	is called · were designed · were given
현재완료 have/has + 과거분사 — 과거의 일이 지금도 관련이 있을 때	have never seen · they've written

쉐도잉이란? 영어 실력을 빠르게 키우는 과학적 방법

쉐도잉(Shadowing)은 원래 전문 통역사 훈련을 위해 개발된 언어 학습 기법으로, 다언어 학자인 Dr. Alexander Arguelles에 의해 대중화된 방법입니다. 핵심 원리는 간단하지만 매우 강력합니다: 원어민의 영어를 들으면서 1~2초의 짧은 지연으로 즉시 소리 내어 따라 말하는 것——마치 '그림자(shadow)'처럼 화자를 따라가는 것입니다. 문법 공부나 수동적인 청취와 달리, 쉐도잉은 뇌와 입 근육이 동시에 실시간으로 영어를 처리하고 재현하도록 훈련합니다. 연구에 따르면 이 방법은 발음 정확도, 억양, 리듬, 연음, 청취력, 말하기 유창성을 크게 향상시킵니다. IELTS 스피킹 준비와 자연스러운 영어 소통을 원하는 분들에게 특히 효과적입니다.

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쉐도잉 연습: Fight brain-rot with Worked Examples - 영상으로 영어 말하기 배우기

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